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Optimal decarbonization pathways for urban residential building energy services

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  • Leibowicz, Benjamin D.
  • Lanham, Christopher M.
  • Brozynski, Max T.
  • Vázquez-Canteli, José R.
  • Castejón, Nicolás Castillo
  • Nagy, Zoltan

Abstract

Strategies for decarbonizing residential building energy services can be divided into three categories: (1) shifting to less carbon-intensive fuels in the building energy supply mix, (2) adopting more energy-efficient end-use appliances, and (3) improving the thermal properties of buildings. We develop an optimization model that incorporates all three strategies, and determines the least-cost decarbonization pathway by balancing these levers and leveraging their synergistic relationships. Hourly service demand profiles are established using appliance-level empirical data and the CitySim building energy simulation software. We apply this framework to the residential buildings sector of Austin, Texas, which is a valuable test case due to its ambitious climate policy, rapid population growth, and strong space cooling demand in line with the shift of building energy demand toward warmer regions in the U.S. and globally. Results show that optimal decarbonization relies primarily on the electrification of end-uses and concomitant decarbonization of electricity supply. End-use appliance efficiency plays a comparatively minor role, limited to specific end-uses like lighting, space heating, and water heating. Upgrading building thermal efficiency significantly reduces the cost of climate policy, revealing an important policy complementarity between carbon reduction measures and building energy codes.

Suggested Citation

  • Leibowicz, Benjamin D. & Lanham, Christopher M. & Brozynski, Max T. & Vázquez-Canteli, José R. & Castejón, Nicolás Castillo & Nagy, Zoltan, 2018. "Optimal decarbonization pathways for urban residential building energy services," Applied Energy, Elsevier, vol. 230(C), pages 1311-1325.
    • Handle: RePEc:eee:appene:v:230:y:2018:i:c:p:1311-1325
    DOI: 10.1016/j.apenergy.2018.09.046
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    as
    1. Kenneth Gillingham & Karen Palmer, 2014. "Bridging the Energy Efficiency Gap: Policy Insights from Economic Theory and Empirical Evidence," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 8(1), pages 18-38, January.
    2. Chaturvedi, Vaibhav & Eom, Jiyong & Clarke, Leon E. & Shukla, Priyadarshi R., 2014. "Long term building energy demand for India: Disaggregating end use energy services in an integrated assessment modeling framework," Energy Policy, Elsevier, vol. 64(C), pages 226-242.
    3. Shi, Jingcheng & Chen, Wenying & Yin, Xiang, 2016. "Modelling building’s decarbonization with application of China TIMES model," Applied Energy, Elsevier, vol. 162(C), pages 1303-1312.
    4. Marilyn A Brown & Frank Southworth, 2008. "Mitigating Climate Change through Green Buildings and Smart Growth," Environment and Planning A, , vol. 40(3), pages 653-675, March.
    5. Farmer, Roger E.A. & Zabczyk, Pawel, 2018. "The household fallacy," Economics Letters, Elsevier, vol. 169(C), pages 83-86.
    6. Franz Fuerst & Patrick McAllister, 2011. "Green Noise or Green Value? Measuring the Effects of Environmental Certification on Office Values," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 39(1), pages 45-69, March.
    7. Chaturvedi, Vaibhav & Kim, Sonny & Smith, Steven J. & Clarke, Leon & Yuyu, Zhou & Kyle, Page & Patel, Pralit, 2013. "Model evaluation and hindcasting: An experiment with an integrated assessment model," Energy, Elsevier, vol. 61(C), pages 479-490.
    8. Zhou, Yuyu & Clarke, Leon & Eom, Jiyong & Kyle, Page & Patel, Pralit & Kim, Son H. & Dirks, James & Jensen, Erik & Liu, Ying & Rice, Jennie & Schmidt, Laurel & Seiple, Timothy, 2014. "Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework," Applied Energy, Elsevier, vol. 113(C), pages 1077-1088.
    9. Wilkerson, Jordan T. & Leibowicz, Benjamin D. & Turner, Delavane D. & Weyant, John P., 2015. "Comparison of integrated assessment models: Carbon price impacts on U.S. energy," Energy Policy, Elsevier, vol. 76(C), pages 18-31.
    10. Self, Stuart J. & Reddy, Bale V. & Rosen, Marc A., 2013. "Geothermal heat pump systems: Status review and comparison with other heating options," Applied Energy, Elsevier, vol. 101(C), pages 341-348.
    11. Diana Ürge-Vorsatz & Cynthia Rosenzweig & Richard J. Dawson & Roberto Sanchez Rodriguez & Xuemei Bai & Aliyu Salisu Barau & Karen C. Seto & Shobhakar Dhakal, 2018. "Locking in positive climate responses in cities," Nature Climate Change, Nature, vol. 8(3), pages 174-177, March.
    12. Howells, Mark & Rogner, Holger & Strachan, Neil & Heaps, Charles & Huntington, Hillard & Kypreos, Socrates & Hughes, Alison & Silveira, Semida & DeCarolis, Joe & Bazillian, Morgan & Roehrl, Alexander, 2011. "OSeMOSYS: The Open Source Energy Modeling System: An introduction to its ethos, structure and development," Energy Policy, Elsevier, vol. 39(10), pages 5850-5870, October.
    13. Lo, Kevin, 2014. "A critical review of China's rapidly developing renewable energy and energy efficiency policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 508-516.
    14. McNeil, Michael A. & Bojda, Nicholas, 2012. "Cost-effectiveness of high-efficiency appliances in the U.S. residential sector: A case study," Energy Policy, Elsevier, vol. 45(C), pages 33-42.
    15. Eom, Jiyong & Clarke, Leon & Kim, Son H. & Kyle, Page & Patel, Pralit, 2012. "China's building energy demand: Long-term implications from a detailed assessment," Energy, Elsevier, vol. 46(1), pages 405-419.
    16. Welsch, M. & Howells, M. & Bazilian, M. & DeCarolis, J.F. & Hermann, S. & Rogner, H.H., 2012. "Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code," Energy, Elsevier, vol. 46(1), pages 337-350.
    17. Bistline, John E. & Hodson, Elke & Rossmann, Charles G. & Creason, Jared & Murray, Brian & Barron, Alexander R., 2018. "Electric sector policy, technological change, and U.S. emissions reductions goals: Results from the EMF 32 model intercomparison project," Energy Economics, Elsevier, vol. 73(C), pages 307-325.
    18. Creason, Jared R. & Bistline, John E. & Hodson, Elke L. & Murray, Brian C. & Rossmann, Charles G., 2018. "Effects of technology assumptions on US power sector capacity, generation and emissions projections: Results from the EMF 32 Model Intercomparison Project," Energy Economics, Elsevier, vol. 73(C), pages 290-306.
    19. Groissböck, Markus & Pickl, Matthias J., 2016. "An analysis of the power market in Saudi Arabia: Retrospective cost and environmental optimization," Applied Energy, Elsevier, vol. 165(C), pages 548-558.
    20. de Moura, Gustavo Nikolaus Pinto & Legey, Luiz Fernando Loureiro & Howells, Mark, 2018. "A Brazilian perspective of power systems integration using OSeMOSYS SAMBA – South America Model Base – and the bargaining power of neighbouring countries: A cooperative games approach," Energy Policy, Elsevier, vol. 115(C), pages 470-485.
    21. Vaillancourt, Kathleen & Bahn, Olivier & Frenette, Erik & Sigvaldason, Oskar, 2017. "Exploring deep decarbonization pathways to 2050 for Canada using an optimization energy model framework," Applied Energy, Elsevier, vol. 195(C), pages 774-785.
    22. Mateus, Tiago & Oliveira, Armando C., 2009. "Energy and economic analysis of an integrated solar absorption cooling and heating system in different building types and climates," Applied Energy, Elsevier, vol. 86(6), pages 949-957, June.
    23. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
    24. Page Kyle & Leon Clarke & Fang Rong & Steven J. Smith, 2010. "Climate Policy and the Long-Term Evolution of the U.S. Buildings Sector," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 145-172.
    25. Leibowicz, Benjamin D. & Krey, Volker & Grubler, Arnulf, 2016. "Representing spatial technology diffusion in an energy system optimization model," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 350-363.
    26. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy-efficiency gap What does it mean?," Energy Policy, Elsevier, vol. 22(10), pages 804-810, October.
    27. Rhodes, Joshua D. & Cole, Wesley J. & Upshaw, Charles R. & Edgar, Thomas F. & Webber, Michael E., 2014. "Clustering analysis of residential electricity demand profiles," Applied Energy, Elsevier, vol. 135(C), pages 461-471.
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